Development of automated image stitching system for radiographic images
Standard X-ray images using conventional screen-film technique have a limited field of view that is insufficient to show the full bone structure of large hands on a single frame. To produce images containing the whole hand structure, digitized images from the X-ray films can be assembled using image...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Verlag (Germany)
2012
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/9278/1/Development_of_Automated_Image_Stitching_System_for_Radiographic_Images.pdf http://eprints.um.edu.my/9278/ https://doi.org/10.1007/s10278-012-9483-5 |
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| Summary: | Standard X-ray images using conventional screen-film technique have a limited field of view that is insufficient to show the full bone structure of large hands on a single frame. To produce images containing the whole hand structure, digitized images from the X-ray films can be assembled using image stitching. This paper presents a new medical image stitching method that utilizes minimum average correlation energy filters to identify and merge pairs of hand X-ray medical images. The effectiveness of the proposed method is demonstrated in the experiments involving two databases which contain a total of 40 pairs of overlapping and non-overlapping hand images. The experimental results are compared with that of the normalized cross-correlation (NCC) method. It is found that the proposed method outperforms the NCC method in classifying and merging the overlapping and non-overlapping medical images. The efficacy of the proposed method is further indicated by its average execution time, which is about five times shorter than that of the other method. © 2012 Society for Imaging Informatics in Medicine. |
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